公开(公告)号：US11538588B2

公开(公告)日：2022-12-27

申请号：US16901033

申请日：2020-06-15

Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY CHINESE ACADEMY OF SCIENCES

Inventor： Ye Li ,  Xiaomao Fan ,  Qihang Yao ,  Liyan Yin

IPC: G06N3/00 ,  G16H50/20 ,  A61B5/00 ,  G06N3/04 ,  G06N3/08 ,  A61B5/352 ,  A61B5/361

Abstract: The present disclosure provides an atrial fibrillation signal recognition method, apparatus and device. The method comprises: obtaining an electrocardiogram signal to be recognized; inputting the electrocardiogram signal to be recognized to a pre-established atrial fibrillation signal recognition model, and outputting an atrial fibrillation signal recognition result, where the atrial fibrillation signal recognition model is established in the following way: obtaining a specified number of electrocardiogram sample signals and corresponding identifier information; balancing, according to the number of normal signals, atrial fibrillation signals by means of SMOTE; establishing a network structure of multiple convolutional neural networks, each of the convolutional neural networks being provided with a specific receptive field for recognizing the atrial fibrillation signals of a corresponding granularity; and inputting the normal signals and the balanced atrial fibrillation signals to the network structure for training to generate an atrial fibrillation signal recognition model.

公开(公告)号：US10743789B2

公开(公告)日：2020-08-18

申请号：US15739719

申请日：2017-11-28

Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY, CHINESE ACADEMY OF SCIENCES

Inventor： Ye Li ,  Xiaomao Fan ,  Yunpeng Cai ,  Qihang Yao ,  Yujie Yang

IPC: A61B5/0452 ,  A61B5/04 ,  A61B5/0472 ,  A61B5/00 ,  A61B5/0404 ,  G16H50/20 ,  A61B5/0432 ,  A61B5/0245 ,  A61B5/0456

Abstract: Provided are an electrocardiogram signal parallel analysis apparatus, a mobile terminal incorporating the apparatus, and related methods. The apparatus includes an integrated memory, a central processing unit and a graphic processing unit. The integrated memory includes a first memory and a second memory for being used by the central processing unit and the graphic processing unit respectively, and the central processing unit may access the second memory. The central processing unit performs primary noise reduction on a received electrocardiogram original signal to obtain a primary electrocardiogram signal, and performs abnormal heartbeat classification preliminary screening on characteristic data extracted from the graphic processing unit to obtain suspected abnormal heartbeat data. The graphic processing unit performs characteristic extraction on the primary electrocardiogram signal to obtain characteristic data, performs secondary noise reduction on the primary electrocardiogram signal to obtain a secondary electrocardiogram signal, and processes the suspected abnormal heartbeat data and the secondary electrocardiogram signal by applying a template matching classification mode to obtain final abnormal heartbeat data.